Postgraduate DiplomaData, AI, Simulation & Analytics Applications open

Diploma in SIL/HIL: Plant Integration and Control

Online postgraduate diploma of 800 hours in SIL/HIL plant and control integration: 8 modules covering in-the-loop testing and the V-model, real-time plant modelling, software-in-the-loop testing, hardware-in-the-loop rigs, interface standards and automation, plant and control integration, and validation and functional safety, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in SIL/HIL: Plant Integration and Control — studying from the United Kingdom

Data science, artificial intelligence and simulation are central to engineering practice across the United Kingdom, with strong hubs in London, Cambridge, Oxford, Bristol and Edinburgh. Universities, research institutes such as the Alan Turing Institute and industrial users in aerospace, automotive, energy and finance demand skills in modelling, machine learning and computational analysis. Engineering simulation tools are widely used for design validation and digital twins. Organisations seek professionals who can turn large datasets into engineering decisions while meeting data protection and governance requirements.

Fees for the United Kingdom: £1,490 (Pound sterling), with instalments and employer sponsorship available.

Relevant bodies in the United Kingdom

  • The Alan Turing Institute
  • British Computer Society (BCS)
  • Royal Statistical Society (RSS)
  • Information Commissioner's Office (ICO)

Typical roles

  • Data Scientist
  • Machine Learning Engineer
  • Simulation Engineer
  • Engineering Data Analyst

Questions from the United Kingdom

Which UK bodies recognise data and AI qualifications?

In the UK, the British Computer Society (BCS), the Royal Statistical Society (RSS) and the Institute of Analytics are relevant professional bodies, and the IET covers many engineering-related AI and data areas. SEIUM's qualifications are private and not accredited by these bodies. Check directly with BCS or RSS whether your study would be considered towards their membership or certification.

Do UK employers in data and AI value private online qualifications?

UK employers in finance, retail, health, technology and public sector analytics typically assess candidates on technical skills, portfolio work and experience with real data. A private qualification may help demonstrate specialist learning, but its value depends on each employer's judgement. Publishing projects and showing practical results will usually matter most.

Can I study this online from the UK alongside work, and what English level is required?

Yes, the programmes are fully online and can be studied from anywhere in the UK without a student visa. Teaching is in English, so you need a solid working level of technical English. An assigned technical tutor will support you. Check the programme hours against your working commitments and ask about instalment payments or employer sponsorship.

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Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

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Learning outcomes

What you will be able to do

01

Plan MIL, SIL, PIL and HIL test strategies within the V-model.

02

Develop plant models that run in real time.

03

Implement SIL environments integrated into continuous integration.

04

Configure HIL rigs with I/O interfaces and communication buses.

05

Automate tests using ASAM standards.

06

Integrate plants and controllers while ensuring stability and synchronisation.

07

Generate validation evidence for functional safety.

Profile

Who it's for

  • HIL test engineers.
  • Embedded software validation engineers.
  • Control systems engineers.
  • Real-time modelling engineers.
  • Functional safety engineers.
  • Test automation engineers.
  • Engineering or science graduates aiming to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262:2018 (road vehicles functional safety)
  • ASAM XIL 2.2 (test bench interface API)
  • IEC 61508:2010 (functional safety of E/E/PE safety-related systems)
  • ASAM MDF 4.2 (measurement data format)
  • AUTOSAR Classic Platform (automotive software architecture)
  • ASAM OpenSCENARIO (driving scenario description)
  • ISO 21448:2022 (safety of the intended functionality, SOTIF)
  • DO-178C (airborne software certification)
  • MATLAB/Simulink
  • dSPACE SCALEXIO
  • NI VeriStand
  • Vector CANoe
  • Speedgoat Simulink Real-Time
Syllabus

8 modules

  1. 1.1The V-model and test levels
  2. 1.2MIL, SIL, PIL and HIL
  3. 1.3Testing requirements in ISO 26262
  4. 1.4Shift-left and virtualisation
  5. 1.5Architecture of a test rig
  6. 1.6Plants, controllers and environments
  7. 1.7Managing test requirements
  8. 1.8Costs and return on virtualisation
  9. 1.9In-the-loop regression testing
  10. 1.10Workshop: MIL-to-HIL test strategy for an ECU
  1. 2.1Real-time requirements for models
  2. 2.2Fixed-step integration
  3. 2.3Model simplification and reduction
  4. 2.4Engine, battery and vehicle models
  5. 2.5Sensor and actuator models
  6. 2.6Exporting plants as FMUs
  7. 2.7Calculating the timing budget
  8. 2.8Validating the plant model
  9. 2.9Partitioning across multiple cores
  10. 2.10Lab: real-time battery plant with Simulink
  1. 3.1Compiling control software for PC
  2. 3.2Virtual ECUs and virtualisation levels
  3. 3.3Integrating AUTOSAR Classic in SIL
  4. 3.4Code generation with Embedded Coder
  5. 3.5Model-to-code back-to-back testing
  6. 3.6Code coverage and MC/DC
  7. 3.7Integration into CI pipelines
  8. 3.8Faster-than-real-time SIL execution
  9. 3.9Calibration management
  10. 3.10Practical exercise: SIL of a cruise controller
  1. 4.1Architecture of a HIL simulator
  2. 4.2dSPACE, NI and Speedgoat platforms
  3. 4.3Analogue and digital I/O interfaces
  4. 4.4Emulating sensors and electrical loads
  5. 4.5Electrical fault injection
  6. 4.6CAN, CAN FD, LIN and Ethernet buses
  7. 4.7Synchronisation and latency
  8. 4.8Rig and operator safety
  9. 4.9Rig maintenance and calibration
  10. 4.10Lab: HIL of an engine controller
  1. 5.1The ASAM XIL API
  2. 5.2The ASAM MDF measurement format
  3. 5.3XCP and ASAM MCD protocols
  4. 5.4ASAM OpenSCENARIO scenarios
  5. 5.5Road description with ASAM OpenDRIVE
  6. 5.6Test languages and frameworks
  7. 5.7Automation with Python and TestStand
  8. 5.8Test case management
  9. 5.9Automatic report generation
  10. 5.10Practical exercise: automated sequence with ASAM XIL
  1. 6.1Interface between plant and controller
  2. 6.2Signal and unit scaling
  3. 6.3Closed loops and stability in HIL
  4. 6.4Effect of delays and sampling
  5. 6.5Real-time co-simulation with FMUs
  6. 6.6Multiphysics plants on FPGA
  7. 6.7Restbus simulation of the network
  8. 6.8Power electronics control
  9. 6.9Synchronisation with environment simulators
  10. 6.10Case study: integration of a traction inverter
  1. 7.1Requirements-based testing
  2. 7.2Fault injection testing
  3. 7.3Qualification of test tools
  4. 7.4Traceability between requirements, tests and results
  5. 7.5Test exit criteria
  6. 7.6ADAS scenario testing
  7. 7.7Evidence for the safety case
  8. 7.8Defect management
  9. 7.9Test quality metrics
  10. 7.10Case study: HIL validation of a braking function
  1. 8.1Definition of the controller under test
  2. 8.2Real-time plant model
  3. 8.3SIL environment with continuous integration
  4. 8.4HIL rig configuration
  5. 8.5Test cases and automation
  6. 8.6Fault injection campaign
  7. 8.7Coverage and results analysis
  8. 8.8Validation report
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, dSPACE SCALEXIO, NI VeriStand, Vector CANoe and Speedgoat Simulink Real-Time, in free, academic or evaluation versions. Testing is studied on real procedures: hardware-in-the-loop testing of electronic control units, SIL validation integrated into continuous integration and electrical fault injection campaigns. Assessment is continuous by module, plus the final capstone project.

Standards covered: ISO 26262:2018, ASAM XIL 2.2, IEC 61508:2010, ASAM MDF 4.2, AUTOSAR Classic Platform, ASAM OpenSCENARIO, ISO 21448:2022, DO-178C.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 26262:2018, ASAM XIL 2.2 and IEC 61508:2010 applied to real cases, not as a theoretical annex.
Industry software:MATLAB/Simulink, dSPACE SCALEXIO, NI VeriStand, Vector CANoe and Speedgoat Simulink Real-Time, in free, academic or evaluation versions.
Final project:a SIL/HIL project that takes a controller from a real-time plant model and CI-based SIL environment to a configured HIL rig, automated tests and a fault injection campaign, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Controller and plant model
Define the controller under test and build its real-time plant model.
SIL with continuous integration
Set up the SIL environment integrated into a CI pipeline.
HIL rig and automation
Configure the HIL rig and automate the test cases.
Fault injection and coverage
Run the fault injection campaign and analyse coverage and results.
Final project
Write the validation report and present the final project.
Career opportunities

Where this takes you

HIL test engineerEmbedded software validation engineerControl systems engineerReal-time modelling engineerFunctional safety engineerTest automation engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MATLAB/Simulink, dSPACE SCALEXIO, NI VeriStand, Vector CANoe and Speedgoat Simulink Real-Time, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector (no university degree required), a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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